Anthocnet Routing Algorithm for Mobile Ad Hoc Networks

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 04 Issue: 08 | Aug-2017

p-ISSN: 2395-0072

www.irjet.net

AntHocNet Routing Algorithm for Mobile Ad Hoc Networks Arockia Panimalar.S 1, Prateeksha.S.R2, Ansu Rodrigues3, Selshya.S4 Assistant Professor, Department of BCA & M.Sc SS, Sri Krishna Arts and Science College, Coimbatore, India 2,3,4 III BCA, Department of BCA & M.Sc SS, Sri Krishna Arts and Science College, Coimbatore, India ---------------------------------------------------------------------***--------------------------------------------------------------------1

Abstract - The paper provides a new routing algorithm

named AntHocNet for Mobile Ad hoc Networks (MANETs). It is a kind of networks where all nodes are mobile and they communicate with each other via wireless connections. It is based on analysis of AntHocNet routing algorithm and Ant Colony Optimization Routing (ACOR) algorithm. It consists of both reactive and proactive components. In a reactive path setup phase, multiple paths are set up between the source and destination of a data session, and during the course of the communication session, ants proactively test existing paths and explore new ones. The main aim is to design an ant based routing algorithm for Ad hoc network. The work is completed partially and still new additions are required to make it a complete routing protocol.

Key Words: Ad hoc, MANETs, AntHocNet, Routing Protocol

1. Introduction MANETs are a cluster of mobile nodes in communication without using fixed infrastructure. Figure 1 shows the Real ant’s search for food from Source (S) to Destination (D). Forward Ants (FA) search for food from S to D whereas, Backward Ants (BA) searches from D to S. When ants travel they discharge a chemical called pheromone. They find the shortest path using the high probability of pheromone. FA and BA are control packets used to amend the routing tables and disperse information about the traffic in the network.

number of routes, reliable connections, and controls updating and broadcasting. It combines a Reactive Route Discovery (RRD) [1] with proactive route maintenance and recovery process. Routing data is saved in pheromone tables and routing tables. In RRD [2] the source node creates a reactive forward ant. This is a control packet that has a goal to find a path from S to an assigned D. Ant contains the address of S and D. It proceeds through the network. It collects a list of nodes it has visited from S to D. If routing data is available, the node chooses a next hop for the ant probabilistically, based on the different pheromone values associated with next hops for D. At the destination the reactive FA is transformed into the BA, if at least one copy of the FA is received. The first Ant is accepted and converted in to BA. Remaining copies are discarded [3]. Proactive path maintenance serves to update and extend the availability of routing data. It has two sub processes, pheromone diffusion and proactive sampling. Pheromone diffusion periodically disperses quality of information. This field of pheromone is indicated in the virtual pheromone values in the pheromone tables of the nodes. Section 2 briefs about the various routing algorithms. Section 3 gives the approach of implementing a new routing protocol and Section 4 concludes the paper.

2. Various Routing Approaches A. Demand Routing Approach Demand routing approach for multi hop Ad hoc networks is proposed. It is based on swarm Intelligence and Ant Colony Optimization (ACO) metaheuristic. Route discovery generates optimal path for data packets. Path maintenance exhausts periodically and retains optimal path when the topology is changed in Ad hoc Networks. Existing routes may fail or new paths are generated.

B. Ant Routing Algorithm

Fig 1: Ants take the shortest path from source to destination In recent years several ant based routing protocols are implemented, such as Probabilistic Emergent Routing Algorithm (PERA), AntHocNet, and Ant-Colony-Based Routing Algorithm (ARA). Ant based routing algorithm for MANETs can react to dynamic changes and solves problems locally. It finds the shortest path from S to D. It provides high

Š 2017, IRJET

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Impact Factor value: 5.181

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Ant routing algorithm for mobile Ad hoc networks (ARAMA) is proposed. It solves the routing problem in MANET and it is a dynamic routing algorithm with controlled overheads in the network.

C. Ant Based Ad hoc Routing Protocols Ant Based Ad hoc Routing Protocols is the best solution for the routing algorithm for solving the routing problems in

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